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Special Issue Editor

Prof. Dr. A. Miguel P. Santos

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Guest Editor

Instituto Português do Mar e da Atmosfera, I.P. (IPMA), Rua Alfredo Magalhães Ramalho, 6-1449-006 Lisboa, Portugal
Interests: oceanography; physical-biological interactions in the ocean; ocean observing systems; applications of satellite remote sensing; fisheries; aquatic environments; aquatic organisms; water quality

Special Issue Information

Dear Colleagues,

The oceans are the main element of the hydrosphere and an important component of the Earth climate system, as well as an important source and environment for many human activities (e.g., fisheries, aquaculture, transport, oil exploration, and energy). However, the oceans are not easily accessible, are a ‘wild’ environment for Man and, due to their extension, difficult to observe, namely as a whole (in space) and synoptically (in time). Thus, appropriate technologies and methodologies that allow the observation of the ocean at the appropriate space and time scales are fundamental for their study and monitoring. In that sense, satellite and airborne remote sensing have these capabilities and are powerful tools for monitoring marine ecosystems, namely at a global scale. Global warming could be modulated by natural causes (e.g., El Niño) that might amplify or attenuate human-induced warming, creating difficulties in understanding how much of it is caused by human activities. Although many studies have pointed out for anthropogenic greenhouse gases emissions as the main cause of the warming of the global ocean, many uncertainties remain in these global trends because of the large spatial and temporal variability observed in the ocean at multidecadal time scales.

Therefore, we would like to call for papers on the applications of satellite and airborne remote sensing to fisheries and oceanography from mesoscale to global scales.

Papers will be selected through a rigorous peer review procedure with the aim of rapid and wide dissemination of research results, development, and application.

Original research papers or reviews are invited in all areas related to the application of satellite and airborne remote sensing to all marine sciences, including ocean-related climate changes, fisheries, and aquaculture.

Prof. A. Miguel P. Santos
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

satellite
airborne
marine applications
oceanography
fisheries
climate changes

Published Papers (2 papers)

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Review

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26 pages, 3665 KiB

Open AccessReview

From Land to Sea, a Review of Hypertemporal Remote Sensing Advances to Support Ocean Surface Science

by Rory Gordon Scarrott, Fiona Cawkwell, Mark Jessopp, Eleanor O’Rourke, Caroline Cusack and Kees de Bie

Water 2019, 11(11), 2286; https://0-doi-org.brum.beds.ac.uk/10.3390/w11112286 - 31 Oct 2019

Cited by 5 | Viewed by 3809

Abstract

Increases in the temporal frequency of satellite-derived imagery mean a greater diversity of ocean surface features can be studied, modelled, and understood. The ongoing temporal data “explosion” is a valuable resource, having prompted the development of adapted and new methodologies to extract information from hypertemporal datasets. Current suitable methodologies for use in hypertemporal ocean surface studies include using pixel-centred measurement analyses (PMA), classification analyses (CLS), and principal components analyses (PCA). These require limited prior knowledge of the system being measured. Time-series analyses (TSA) are also promising, though they require more expert knowledge which may be unavailable. Full use of this resource by ocean and fisheries researchers is restrained by limitations in knowledge on the regional to sub-regional spatiotemporal characteristics of the ocean surface. To lay the foundations for more expert, knowledge-driven research, temporal signatures and temporal baselines need to be identified and quantified in large datasets. There is an opportunity for data-driven hypertemporal methodologies. This review examines nearly 25 years of advances in exploratory hypertemporal research, and how methodologies developed for terrestrial research should be adapted when tasked towards ocean applications. It highlights research gaps which impede methodology transfer, and suggests achievable research areas to be addressed as short-term priorities. Full article

(This article belongs to the Special Issue Applications of Remote Sensing to Marine Fisheries and Oceanography)

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Other

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21 pages, 6247 KiB

Open AccessTechnical Note

Investigation of Sediment-Rich Glacial Meltwater Plumes Using a High-Resolution Multispectral Sensor Mounted on an Unmanned Aerial Vehicle

by Kornelia Anna Wójcik, Robert Józef Bialik, Maria Osińska and Marek Figielski

Water 2019, 11(11), 2405; https://0-doi-org.brum.beds.ac.uk/10.3390/w11112405 - 16 Nov 2019

Cited by 20 | Viewed by 4372

Abstract

A Parrot Sequoia+ multispectral camera on a Parrot Bluegrass drone registered in four spectral bands (green, red, red edge (RE), and near-infrared (NIR)) to identify glacial outflow zones and determined the meltwater turbidity values in waters in front of the following Antarctic glaciers: Ecology, Dera Icefall, Zalewski, and Krak on King George Island, Southern Shetlands was used. This process was supported by a Red-Green-Blue (RGB) colour model from a Zenmuse X5 camera on an Inspire 2 quadcopter drone. Additional surface water turbidity measurements were carried out using a Yellow Springs Instruments (YSI) sonde EXO2. From this research, it was apparent that for mapping low-turbidity and medium-turbidity waters (<70 formazinenephelometricunits (FNU)), a red spectral band should be used, since it is insensitive to possible surface ice phenomena and registers the presence of both red and white sediments. High-turbidity plumes with elevated FNU values should be identified through the NIR band. Strong correlation coefficients between the reflectance at particular bands and FNU readings (R_Green = 0.85, R_Red = 0.85, R_Edge = 0.84, and R_NIR = 0.83) are shown that multispectral mapping using Unmanned Aerial Vehicles (UAVs) can be successfully usedeven in the unfavourable weather conditions and harsh climate of Antarctica. Lastly, the movement of water masses in Admiralty Bay is briefly discussed and supported by the results from EXO2 measurements. Full article

(This article belongs to the Special Issue Applications of Remote Sensing to Marine Fisheries and Oceanography)

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